pub struct RegularizedEnsembleRegressor { /* private fields */ }Expand description
Regularized ensemble regressor with L1/L2 regularization
Implementations§
Source§impl RegularizedEnsembleRegressor
impl RegularizedEnsembleRegressor
pub fn new(config: RegularizedEnsembleConfig) -> Self
pub fn builder() -> RegularizedEnsembleRegressorBuilder
Sourcepub fn get_ensemble_weights(&self) -> &[f64]
pub fn get_ensemble_weights(&self) -> &[f64]
Get ensemble weights
Sourcepub fn get_regularization_path(&self) -> &[RegularizationStep]
pub fn get_regularization_path(&self) -> &[RegularizationStep]
Get regularization path
Sourcepub fn get_sparsity(&self) -> f64
pub fn get_sparsity(&self) -> f64
Get sparsity level (fraction of zero weights)
Trait Implementations§
Source§impl Estimator for RegularizedEnsembleRegressor
impl Estimator for RegularizedEnsembleRegressor
Source§type Config = RegularizedEnsembleConfig
type Config = RegularizedEnsembleConfig
Configuration type for the estimator
Source§type Error = SklearsError
type Error = SklearsError
Error type for the estimator
Source§fn validate_config(&self) -> Result<(), SklearsError>
fn validate_config(&self) -> Result<(), SklearsError>
Validate estimator configuration with detailed error context
Source§fn check_compatibility(
&self,
n_samples: usize,
n_features: usize,
) -> Result<(), SklearsError>
fn check_compatibility( &self, n_samples: usize, n_features: usize, ) -> Result<(), SklearsError>
Check if estimator is compatible with given data dimensions
Source§fn metadata(&self) -> EstimatorMetadata
fn metadata(&self) -> EstimatorMetadata
Get estimator metadata
Source§impl Fit<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, Vec<f64>> for RegularizedEnsembleRegressor
impl Fit<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, Vec<f64>> for RegularizedEnsembleRegressor
Source§type Fitted = RegularizedEnsembleRegressor
type Fitted = RegularizedEnsembleRegressor
The fitted model type
Source§fn fit(self, X: &Array2<f64>, y: &Vec<f64>) -> SklResult<Self::Fitted>
fn fit(self, X: &Array2<f64>, y: &Vec<f64>) -> SklResult<Self::Fitted>
Fit the model to the provided data with validation
Source§fn fit_with_validation(
self,
x: &X,
y: &Y,
_x_val: Option<&X>,
_y_val: Option<&Y>,
) -> Result<(Self::Fitted, FitMetrics), SklearsError>where
Self: Sized,
fn fit_with_validation(
self,
x: &X,
y: &Y,
_x_val: Option<&X>,
_y_val: Option<&Y>,
) -> Result<(Self::Fitted, FitMetrics), SklearsError>where
Self: Sized,
Fit with custom validation and early stopping
Source§impl Predict<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, Vec<f64>> for RegularizedEnsembleRegressor
impl Predict<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, Vec<f64>> for RegularizedEnsembleRegressor
Source§fn predict(&self, X: &Array2<f64>) -> SklResult<Vec<f64>>
fn predict(&self, X: &Array2<f64>) -> SklResult<Vec<f64>>
Make predictions on the provided data
Source§fn predict_with_uncertainty(
&self,
x: &X,
) -> Result<(Output, UncertaintyMeasure), SklearsError>
fn predict_with_uncertainty( &self, x: &X, ) -> Result<(Output, UncertaintyMeasure), SklearsError>
Make predictions with confidence intervals
Auto Trait Implementations§
impl Freeze for RegularizedEnsembleRegressor
impl RefUnwindSafe for RegularizedEnsembleRegressor
impl Send for RegularizedEnsembleRegressor
impl Sync for RegularizedEnsembleRegressor
impl Unpin for RegularizedEnsembleRegressor
impl UnwindSafe for RegularizedEnsembleRegressor
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
Source§impl<T> IntoEither for T
impl<T> IntoEither for T
Source§fn into_either(self, into_left: bool) -> Either<Self, Self>
fn into_either(self, into_left: bool) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left is true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read moreSource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
Converts
self into a Left variant of Either<Self, Self>
if into_left(&self) returns true.
Converts self into a Right variant of Either<Self, Self>
otherwise. Read moreSource§impl<T> Pointable for T
impl<T> Pointable for T
Source§impl<T> StableApi for Twhere
T: Estimator,
impl<T> StableApi for Twhere
T: Estimator,
Source§const STABLE_SINCE: &'static str = "0.1.0"
const STABLE_SINCE: &'static str = "0.1.0"
API version this type was stabilized in
Source§const HAS_EXPERIMENTAL_FEATURES: bool = false
const HAS_EXPERIMENTAL_FEATURES: bool = false
Whether this API has any experimental features